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Methodology
← Learning Types
Machine Learning
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Learning Types
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Continual Learning
1895 directly classified papers
Papers per year
2005: 1
2010: 1
2012: 1
2013: 4
2014: 7
2015: 6
2016: 4
2017: 25
2018: 35
2019: 75
2020: 126
2021: 202
2022: 221
2023: 362
2024: 351
2025: 353
2026: 121
Papers
Data Selection Curriculum for Neural Machine Translation
EMNLP 2022
CLLE: A Benchmark for Continual Language Learning Evaluation in Multilingual Machine Translation
EMNLP 2022
Continual Learning of Neural Machine Translation within Low Forgetting Risk Regions
EMNLP 2022
Learning Label Modular Prompts for Text Classification in the Wild
EMNLP 2022
Curriculum Prompt Learning with Self-Training for Abstractive Dialogue Summarization
EMNLP 2022
Online Continual Adaptation with Active Self-Training
AISTATS 2022
ConTinTin: Continual Learning from Task Instructions
ACL 2022
Continual Few-shot Relation Learning via Embedding Space Regularization and Data Augmentation
ACL 2022
Evaluations of the Gap between Supervised and Reinforcement Lifelong Learning on Robotic Manipulation Tasks
CORL 2021
Do Not Forget to Attend to Uncertainty While Mitigating Catastrophic Forgetting
WACV 2021
Continual Learning in the Teacher-Student Setup: Impact of Task Similarity
ICML 2021
Learn Like a Pathologist: Curriculum Learning by Annotator Agreement for Histopathology Image Classification
WACV 2021
Continual Representation Learning for Biometric Identification
WACV 2021
River: machine learning for streaming data in Python
JMLR 2021
Continual Learning using a Bayesian Nonparametric Dictionary of Weight Factors
AISTATS 2021
Learning to Solve NLP Tasks in an Incremental Number of Languages
IJCNLP 2021
Preview, Attend and Review: Schema-Aware Curriculum Learning for Multi-Domain Dialogue State Tracking
IJCNLP 2021
Rational LAMOL: A Rationale-based Lifelong Learning Framework
IJCNLP 2021
Continual Quality Estimation with Online Bayesian Meta-Learning
IJCNLP 2021
Learning to Solve NLP Tasks in an Incremental Number of Languages
ACL 2021
Bayesian Structural Adaptation for Continual Learning
ICML 2021
Kernel Continual Learning
ICML 2021
Self-Paced Context Evaluation for Contextual Reinforcement Learning
ICML 2021
Refining Sample Embeddings with Relation Prototypes to Enhance Continual Relation Extraction
ACL 2021
Learning With Memory-Based Virtual Classes for Deep Metric Learning
ICCV 2021
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